A survey on complex knowledge base question answering: Methods, challenges and solutions
Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin wit...
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sg-smu-ink.sis_research-77652023-02-10T05:53:33Z A survey on complex knowledge base question answering: Methods, challenges and solutions LAN, Yunshi HE, Gaole JIANG, Jinhao JIANG, Jing ZHAO, Wayne Xin WEN, Ji-Rong Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin with introducing the background about the KBQA task. Next, we present the two mainstream categories of methods for complex KBQA, namely semantic parsing-based (SP-based) methods and information retrieval-based (IR-based) methods. We then review the advanced methods comprehensively from the perspective of the two categories. Specifically, we explicate their solutions to the typical challenges. Finally, we conclude and discuss some promising directions for future research. 2021-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6762 info:doi/10.24963/ijcai.2021/611 https://ink.library.smu.edu.sg/context/sis_research/article/7765/viewcontent/2105.11644.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Knowledge representation and reasoning General Natural language processing General Databases and Information Systems |
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Knowledge representation and reasoning General Natural language processing General Databases and Information Systems LAN, Yunshi HE, Gaole JIANG, Jinhao JIANG, Jing ZHAO, Wayne Xin WEN, Ji-Rong A survey on complex knowledge base question answering: Methods, challenges and solutions |
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Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin with introducing the background about the KBQA task. Next, we present the two mainstream categories of methods for complex KBQA, namely semantic parsing-based (SP-based) methods and information retrieval-based (IR-based) methods. We then review the advanced methods comprehensively from the perspective of the two categories. Specifically, we explicate their solutions to the typical challenges. Finally, we conclude and discuss some promising directions for future research. |
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text |
author |
LAN, Yunshi HE, Gaole JIANG, Jinhao JIANG, Jing ZHAO, Wayne Xin WEN, Ji-Rong |
author_facet |
LAN, Yunshi HE, Gaole JIANG, Jinhao JIANG, Jing ZHAO, Wayne Xin WEN, Ji-Rong |
author_sort |
LAN, Yunshi |
title |
A survey on complex knowledge base question answering: Methods, challenges and solutions |
title_short |
A survey on complex knowledge base question answering: Methods, challenges and solutions |
title_full |
A survey on complex knowledge base question answering: Methods, challenges and solutions |
title_fullStr |
A survey on complex knowledge base question answering: Methods, challenges and solutions |
title_full_unstemmed |
A survey on complex knowledge base question answering: Methods, challenges and solutions |
title_sort |
survey on complex knowledge base question answering: methods, challenges and solutions |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2021 |
url |
https://ink.library.smu.edu.sg/sis_research/6762 https://ink.library.smu.edu.sg/context/sis_research/article/7765/viewcontent/2105.11644.pdf |
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1770576060499361792 |